The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Electrocardiogram (ECG), Electrodermal Activity (EDA), Electromyogram (EMG) and Impedance Cardiography (ICG) are among physiological signals widely used in various biomedical applications including health tracking, sleep quality assessment, early disease detection/diagnosis and human affective state recognition. This paper presents the development of a biosignal-specific processing and feature extraction...
In this paper, we presented the design of low-cost, compact and wireless 12 lead Electrocardiogram analog front-end (AFE) system using TI ADS 1198. ECG analog front-end (AFE) systems are designed with ASICs or custom designed ICs which are too expensive to be used. The main components of a conventional ECG system include instrumentation amplifiers, operational amplifiers that implement active filters...
In order to solve the problem of ECG signal detection, wireless sensor network is designed with ZigBee technology. This article describes the details of the system structure, the design of hardware and software and the communication methods. we can realize wireless detection of human ECG signal through the wireless sensor system. Design the host computer software system based on Qt framework can achieve...
The 12-lead electrocardiogram (ECG) is a graphic recording of heart's electrical activity measured from 12- different sites (leads) of the body. To find heart disease using ECG, it is necessary to check in detail abnormalities occurring in multiple leads and their relevance. This task requires much time and effort, whereas existing automatic analysis software for ECG has no function for checking multiple...
Monitoring of ECG signal is used in medicine for multiple purposes. Measurements can be taken at any stage of patient's medical care, either as a preventative, diagnostical or recovery monitoring. Current wearable technology enables users and doctors to produce so far unprecedented amount of information. Processing of such measurements is usually a laborious and time consuming manual task. Automatic...
In the paper, a new version of a multichannel ECG measuring system ProCardio is introduced. The system was designed for measurement, processing, and evaluation of surface electrocardiograms using up to 144 passive or active ECG electrodes. For fast and convenient placement of electrodes, self-adhesive stripes with eight electrodes are used. To minimize the capacitive coupling and guarantee maximal...
Sensor based ECG signal acquisition methods are non-invasive method for diagnosing heart related diseases. A noise removal ECG signal provides certain details about the electrical activity of the heart. The main focus of this paper is to identify the suitable filtering method for ECG signal noise removal for physiological parameter measurement and monitoring using TCP/IP Protocol. Feature extraction...
In this paper, we propose a two electrodes configuration for noncontact long-term cardiac monitoring. Our system was designed as an alternative to Holter devices. Unlike a traditional long-term monitoring equipment, our system is stationary and non-contact, the cardiac signal is acquired through a capacitive coupling between the sensor and the subject's body. The proposed system is the first prototype...
The long-term and real-time recording and analysis of a patient's heart rate can be helpful for medical staff to estimate a patient's prognosis. The long-term trends of various heart rate variability (HRV) parameters of a patient's condition may indicate disease development. In some cases, it may be used as feedback for providing suitable medical treatment. Because of the long-term purpose of recording...
The issues considered in this paper are related to the development of a variety of topics of information systems for biomedical data processing. This topic is relevant in connection with the continuing need to create of multi-parameter vital sign databases. In addition, modern world trends in the development of big data collecting and processing information systems add some relevance to this work...
Frequent monitoring is required for chronically ill cardiac patients to ensure superior treatment. This paper presents a low-cost, novel wearable electrocardiogram (ECG) measuring unit for consistent use. In this study, the ECG signal is accumulated by a three electrode data acquisition system and measured by an integrated signal conditioning block AD8232. The analog signal from AD8232 is converted...
Reported cases of adverse events and product recalls expose limitations of biomedical signal acquisition devices. Approximately, ninety percent of the 1.210 recalls reported by the US Food and Drug Administration (FDA) between 2006 and 2011 were of class 2 devices such as Electrocardiography (ECG) devices. We show in this paper how manufacturers of biomedical signal acquisition devices can argue effectiveness...
The ability to perform real-time signal analysis on physiological signal is important in today's technology. This allows physician to monitor their patient's health condition and provide the necessary action immediately. To obtain accurate measurement of this signal, proper signal interface between the patient body and the signal analyzer is crucial. In this work, a microprocessor system interfaced...
The aim of this work is to promote the application of computer science and skills in projecting web-based and mobile systems for training and improving in the field of biomedical engineering. The main role of such project system is reflected in unification and publishing educational contents in the fields of ECG signals, assigned for students and teachers of medicine and biomedical engineering. The...
QRS detection plays a key role in processing, measurements and analysis of ECG signals. There is a recognized need for reliable and objective evaluation of their performances. This task becomes difficult taking into account multiple data source, different data storage formats as well as various execution environments and modes. The aim of this project was to develop an automatic, configurable and...
Biomedical time-series analysis deals with detection, classification and prediction of subjects' states and disorders. In this paper, we present requirements and scenarios of use for a novel web platform designed to analyze multivariate heterogeneous biomedical time-series. The scenarios of use are described with the corresponding UML Use Case Diagrams. We also discuss some architectural and technological...
This paper presents an innovative and safe connected health solution for human identification. The system consists of the encryption and decryption of ECG signals using the advanced encryption standard (AES) as well as the recognition of individuals based on ECG biometrics. Heterogeneous and efficient implementation of the proposed system has been performed on a Xilinx ZC702 Zynq based prototyping...
This paper describes a new solution for mobile heart monitoring. This approach is based on the experience of ECG processing algorithms development for diagnostic purposes. The described approach allows developing a new mobile heart monitoring system consisting of ECG recording device, mobile computer (smartphone or tablet) and server (medical database). It is based on specially developed software...
Emotion Recognition always has been one of the key areas in human machine interaction, machine learning or affective computing. Two dimensional valence arousal model has been used here. In this paper, we present how simple emotion recognition can be done by measuring nine basic non-invasive Biological markers or physiological signals including BR [BReathing], ECG [ElectroCardioGram], EMG [ElectroMyoGram],...
Electrocardiographic (ECG) equipment plays a vital role for diagnosis of cardiac disease. However, the cost of this equipment is huge and the operation is too much complex which cannot offer better services to a large population in developing countries like Bangladesh. In this paper, we have designed and implemented a low cost portable single channel ECG monitoring system using smartphone having android...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.